# sample_pref

0th

Percentile

##### Trait-based random generation

Generation of random graphs based on different vertex types.

Keywords
graphs
##### Usage
sample_pref(nodes, types, type.dist = rep(1, types), fixed.sizes = FALSE,
pref.matrix = matrix(1, types, types), directed = FALSE, loops = FALSE)pref(...)sample_asym_pref(nodes, types, type.dist.matrix = matrix(1, types, types),
pref.matrix = matrix(1, types, types), loops = FALSE)asym_pref(...)
##### Arguments
nodes
The number of vertices in the graphs.
types
The number of different vertex types.
type.dist
The distribution of the vertex types, a numeric vector of length types containing non-negative numbers. The vector will be normed to obtain probabilities.
fixed.sizes
Fix the number of vertices with a given vertex type label. The type.dist argument gives the group sizes (i.e. number of vertices with the different labels) in this case.
pref.matrix
A square matrix giving the preferences of the vertex types. The matrix has types rows and columns.
directed
Logical constant, whether to create a directed graph.
loops
Logical constant, whether self-loops are allowed in the graph.
...
Passed to the constructor, sample_pref or sample_asym_pref.
type.dist.matrix
The joint distribution of the in- and out-vertex types.
##### Details

Both models generate random graphs with given vertex types. For sample_pref the probability that two vertices will be connected depends on their type and is given by the pref.matrix argument. This matrix should be symmetric to make sense but this is not checked. The distribution of the different vertes types is given by the type.dist vector.

For sample_asym_pref each vertex has an in-type and an out-type and a directed graph is created. The probability that a directed edge is realized from a vertex with a given out-type to a vertex with a given in-type is given in the pref.matrix argument, which can be asymmetric. The joint distribution for the in- and out-types is given in the type.dist.matrix argument.

##### Value

• An igraph graph.

sample_traits. sample_traits_callaway

##### Aliases
• asym_pref
• asymmetric.preference.game
• pref
• preference.game
• sample_asym_pref
• sample_pref
##### Examples
pf <- matrix( c(1, 0, 0, 1), nr=2)
g <- sample_pref(20, 2, pref.matrix=pf)
tkplot(g, layout=layout_with_fr)

pf <- matrix( c(0, 1, 0, 0), nr=2)
g <- sample_asym_pref(20, 2, pref.matrix=pf)
tkplot(g, layout=layout_in_circle)
Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)

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